Design, build, and operate backend services that power context retrieval, enrichment, and insight generation across HubSpot’s platform.
Build systems for storing, processing, and retrieving high-volume GTM data (e.g., contact history, CRM activity, behavioral signals).
Develop scalable data processing and streaming solutions to support AI-driven use cases.
Create reusable platform capabilities and APIs that enable other product teams to build smarter AI assistants and agents.
Contribute to evaluation and quality frameworks to ensure context accuracy, reliability, and performance.
Collaborate closely with platform teams and downstream product engineering teams to integrate capabilities into real customer experiences.
Own end-to-end delivery: architecture, implementation, observability, performance, and iteration in production environments.

Requirements

Strong track record shipping production backend systems as a senior engineer, with ownership from design through operation.
Professional experience building maintainable, scalable backend services (Java preferred).
Strong data background and experience working with large datasets, data pipelines, and data-intensive systems.
Experience building or integrating AI/ML-adjacent systems in production (e.g., retrieval pipelines, embeddings, ranking systems, model-backed services, or similar).
Experience operating systems at scale, including performance optimization and reliability considerations.
Strong engineering fundamentals: system design, testing, debugging, observability, and operational excellence.
Product mindset - comfortable collaborating cross-functionally and building platform capabilities used by other engineering teams.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

backend servicesJavadata processingstreaming solutionsAPIsdata pipelinesAI/ML systemssystem designperformance optimizationdebugging

Soft Skills

collaborationownershipproduct mindsetoperational excellence